Deskripsi Pekerjaan
Are you a visionary technologist passionate about the intersection of AI, cloud computing, and the next generation of automotive innovation? ByteDance is looking for a Cloud Solution Architect to join our Global AI & Cloud Solution team in Singapore. In this pivotal role, you will be the bridge between our cutting-edge AI technology and the complex requirements of global automotive enterprises.
You will play a vital role in designing end-to-end, cloud-native architectures that empower automotive partners to accelerate their digital transformation. From autonomous driving data processing to smart cockpit experiences and AI-driven supply chain optimization, you will influence the future of mobility. If you thrive in a fast-paced, global environment and have a passion for architecting large-scale distributed systems, we invite you to build the future with us.
Tanggung Jawab
- Architect and design scalable, high-performance cloud-native solutions tailored for automotive industry use cases.
- Serve as a primary technical advisor for enterprise partners, guiding them through complex digital transformation journeys.
- Collaborate with cross-functional product and engineering teams to integrate ByteDance's AI/ML capabilities into customer infrastructures.
- Lead technical pre-sales activities, including proof-of-concept (POC) design, technical deep-dives, and architecting solutions for RFP/RFI responses.
- Develop and publish technical whitepapers, architectural patterns, and best practices for cloud deployments.
- Troubleshoot critical architectural bottlenecks and provide expert-level guidance on system optimization and security.
- Bridge the gap between business objectives and technical implementation, ensuring seamless solution delivery.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- 5+ years of experience in Cloud Architecture, Solution Engineering, or Technical Consulting.
- Deep understanding of cloud platforms (AWS, GCP, Azure, or private cloud) and modern distributed systems.
- Strong background in AI/ML model deployment pipelines, MLOps, and big data processing technologies.
- Proven expertise in the automotive sector, specifically with connected vehicle platforms, telematics, or autonomous driving architecture.
- Excellent communication skills with the ability to articulate complex technical concepts to C-suite stakeholders.
- Proficiency in programming languages such as Python, Go, or Java for rapid prototyping and automation.
- Fluency in English; ability to communicate in other regional languages is a distinct advantage.